Modulation and signal class labelling using active learning and classification using machine learning.
Bhargava B. C.Ankush DeshmukhA. V. NarasimhadhanPublished in: CoRR (2022)
Keyphrases
- machine learning
- active learning
- supervised machine learning
- supervised learning
- machine learning methods
- pattern recognition
- machine learning algorithms
- decision trees
- rare class
- multi class classification
- text classification
- class labels
- imbalanced data classification
- signal detection
- signal processing
- feature selection
- annotation effort
- selective sampling
- support vector
- support vector machine
- unsupervised learning
- machine learning approaches
- supervised classification
- feature vectors
- batch mode active learning
- training set
- image classification
- classification accuracy
- learning algorithm
- model selection
- transfer learning
- random sampling
- class imbalance
- multiclass classification
- cost sensitive learning
- multiple classes
- feature extraction
- semi supervised learning
- cost sensitive
- semi supervised
- amplitude modulation
- transductive inference
- classification algorithm
- data mining
- support vector machine svm